In order to solve the power system dynamic economic dispatch incorporated wind power, after taking into account the unit of ramp rate in actual operating, the operating constraints, the spinning reserve constraints an, etc. Combined 24 hours’ power curve of the wind power calculated by using wind speed, power generation costs transformed by wind power generation investments and maintenance,an objective function including conventional power generation cost with valve point effect, wind power generation cost, system spinning reserve cost, and penalty function with all constraints, solved by co-evolutionary particle swarm optimization algorithm. The algorithm has achieved global optimal solution and optimal penalty factor through two populations of autonomous evolution and interaction information. At last, simulation result of the example shows that the algorithm has a good search performance, convergence features and the quality of the solution is significantly better than other algorithms.
